MRI Gradient Coil Self-Compensation for Signal Accuracy

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Solution Overview

Problem

Magnetic resonance imaging (MRI) systems face challenges in accurately measuring and compensating for errors in gradient coils, leading to deteriorated signal-to-noise ratios and artifacts in MR images due to various factors.

Innovation Solution

A method is introduced that involves generating modified gradient pulses based on a reference pulse, applying these pulses to x-axis, y-axis, or z-axis coils, and compensating the output by adjusting the pulse sequence based on received RF signals, which includes determining a tuning value and selecting an optimal modified gradient pulse to optimize the RF signal.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If gradient coil output is not compensated, then device complexity is reduced, but manufacturing precision deteriorates due to errors in output signals

Engineering Contradiction:
Improvesignal accuracyVSAvoidcompensation system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The gradient coil system performs self-diagnosis and self-compensation by measuring its own output errors and adjusting its operation accordingly. The control unit measures the actual output of the gradient coil and automatically compensates for deviations, enabling the system to maintain high precision without requiring complex external calibration equipment or manual intervention.

Inventive Principle:
Principle #25Self-service

2Reliability

If gradient coil output is compensated, then reliability is improved, but device complexity increases due to additional measurement and adjustment mechanisms

Engineering Contradiction:
Improvesignal consistencyVSAvoiddiagnosis system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The control unit serves multiple functions: it controls the gradient coil operation, measures the actual output signals, calculates compensation values, and adjusts the pulse sequence parameters. By consolidating these functions into a single control unit, the system achieves high reliability through comprehensive compensation while minimizing the increase in device complexity through functional integration.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If multiple modified gradient pulses are applied, then measurement precision is improved, but productivity decreases due to repeated measurements and adjustments

Engineering Contradiction:
Improveerror measurement accuracyVSAvoiddiagnosis time
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system applies multiple modified gradient pulses with different parameters (amplitude, duration, waveform) in advance to comprehensively characterize the gradient coil's output errors across various operating conditions. By performing these measurements during the diagnosis phase before actual imaging, the system achieves high measurement precision without affecting the productivity of clinical imaging operations.

Inventive Principle:
Principle #10Preliminary action

4Manufacturing precision

If pulse sequence is adjusted based on tuning values, then manufacturing precision is improved, but device complexity increases due to additional control parameters

Engineering Contradiction:
Improveoutput signal accuracyVSAvoidpulse sequence control complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system compensates for gradient coil output errors by dynamically adjusting parameters of the pulse sequence, including amplitude, duration, and waveform characteristics of the gradient pulses. By modifying these operational parameters based on measured compensation values, the system achieves high signal accuracy while utilizing existing pulse sequence control mechanisms, thereby minimizing the increase in device complexity.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for accurate compensation of gradient coil outputs, improving the signal-to-noise ratio and reducing artifacts in MR images, thereby enhancing the diagnostic accuracy and efficiency of the MRI system.

Implementation Method 1

forming a gradient magnetic field in a scanning space where a target object is positioned by generating a plurality of modified gradient pulses based on a reference gradient pulse

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

applying a radio frequency (RF) pulse from an RF coil to the target object in the scanning space

Methodology Applied
Scientific EffectRadio frequency electromagnetic radiation: Electromagnetic Induction

Implementation Method 3

when a particular high frequency wave is incident on an atomic nucleus in a state of being magnetized by an external magnetic field, the atomic nucleus in a low energy state absorbs a high frequency wave energy and thus, is excited to a high energy state

Methodology Applied
Scientific EffectMagnetic resonance: Resonance

Data Source

PatentUS9689953B2MRI system and method of diagnosing the same
Publication Date: 2017.06.27 SAMSUNG ELECTRONICS CO LTD
  • US9689953B2 patent drawing
  • US9689953B2 patent drawing
  • US9689953B2 patent drawing

AI summary

A method of diagnosing a magnetic resonance imaging (MRI) system includes forming a gradient magnetic field in a scanning space where a target object is positioned by generating a plurality of modified gradient pulses based on a reference gradient pulse and applying one of the plurality of modified gradient pulses to one of an x-axis coil, a y-axis coil, and a z-axis coil included in a gradient coil, applying a radio frequency (RF) pulse from an RF coil to the target object in the scanning space where the gradient magnetic field corresponding to each of the plurality of modified gradient pulses is formed, receiving a plurality of RF signals that are generated from the target object and correspond to the plurality of modified gradient pulses, and compensating an output of the gradient coil based on the plurality of received RF signals.